RESEARCHER PROFILE

Tim Menzies

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T

North Carolina State University

Software Engineering Techniques and PracticesSoftware Engineering ResearchAdvanced Software Engineering MethodologiesSoftware Testing and Debugging TechniquesSoftware Reliability and Analysis Research

Tim Menzies works in Software Engineering Techniques and Practices, Software Engineering Research, Advanced Software Engineering Methodologies, Software Testing and Debugging Techniques, Software Reliability and Analysis Research. Recorded institutional associations include North Carolina State University, North Carolina Agricultural and Technical State University.

626Publications
15,255Citations
60H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Data Mining Static Code Attributes to Learn Defect Predictors

    2006 · 1,215 citations

  2. On the relative value of cross-company and within-company data for defect prediction

    2009 · 725 citations

  3. Defect prediction from static code features: current results, limitations, new approaches

    2010 · 466 citations

  4. Automated severity assessment of software defect reports

    2008 · 336 citations

  5. Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"

    2007 · 277 citations

  6. Heterogeneous Defect Prediction

    2017 · 277 citations

  7. On the Value of Ensemble Effort Estimation

    2011 · 266 citations

  8. Local versus Global Lessons for Defect Prediction and Effort Estimation

    2013 · 261 citations

  9. Selecting Best Practices for Effort Estimation

    2006 · 257 citations

  10. What is wrong with topic modeling? And how to fix it using search-based software engineering

    2018 · 229 citations

  11. Better cross company defect prediction

    2013 · 214 citations

  12. A Deep Learning Model for Estimating Story Points

    2018 · 211 citations

  13. Tuning for software analytics: Is it really necessary?

    2016 · 210 citations

  14. Exploiting the Essential Assumptions of Analogy-Based Effort Estimation

    2011 · 200 citations

  15. Bias in machine learning software: why? how? what to do?

    2021 · 186 citations

  16. Implications of ceiling effects in defect predictors

    2008 · 185 citations

  17. On the use of relevance feedback in IR-based concept location

    2009 · 185 citations

  18. Local vs. global models for effort estimation and defect prediction

    2011 · 170 citations

  19. Finding Faster Configurations Using FLASH

    2018 · 166 citations

  20. Automatic Query Reformulations for Text Retrieval in Software Engineering

    2013 · 161 citations

  21. Is "better data" better than "better data miners"?

    2018 · 159 citations

  22. Software effort models should be assessed via leave-one-out validation

    2013 · 156 citations

  23. Easy over hard: a case study on deep learning

    2017 · 155 citations

  24. Scalable product line configuration: A straw to break the camel's back

    2013 · 150 citations

  25. Finding the Right Data for Software Cost Modeling

    2005 · 149 citations

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